Abliteration AI API
Access Abliteration AI instantly with Puter.js, and add AI to any app in a few lines of code without backend or API keys.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain AI like I'm five!", {
model: "abliteration-ai/abliterated-model"
}).then(response => {
console.log(response);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain AI like I'm five!", {
model: "abliteration-ai/abliterated-model"
}).then(response => {
console.log(response);
});
</script>
</body>
</html>
List of Abliteration AI Models
Abliterated Model
abliteration-ai/abliterated-model
Abliterated Model is Abliteration AI's general-purpose chat model, built through abliteration, a technique that locates and removes the internal activation direction responsible for a base model's safety refusals rather than retraining it from scratch. Abliteration AI does not disclose which base model this variant derives from, so that detail can't be verified. It is the only model in Abliteration AI's lineup that accepts image input alongside text, with a 262,144-token context window and up to 262,134 output tokens. Abliteration AI reports 82.1 on MMLU-Pro, 73.1 on GPQA, 83.7 on AIME 2025, and 68.1 on MMMU-Pro, plus a refusal rate of 3 out of 100 on harmful-behavior tests. These are the vendor's own published numbers, not independently verified. It targets red-teaming, security research, and evaluation workloads where a provider's default refusals get in the way, backed by a zero data retention policy.
ChatAbliterated Large v2
abliteration-ai/abliterated-model-large-v2
Abliterated Large v2 is Abliteration AI's second-generation large-context chat model, built by abliterating Zhipu's GLM-5.3, the successor to the GLM-5.2 base behind Abliterated Large. Abliteration AI released it on August 29, 2026. Like its predecessor, it is text-only, with a 1,000,000-token context window and up to 999,990 output tokens, served in FP8 precision with zero data retention for prompts and responses by default. Abliteration AI reports 84.5% pass@1 on CyberGym across 1,507 tasks, a 41.8% resolution rate on Terminal-Bench 4.0 (versus Opus 5's 51.8%), and 105 of 869 tasks solved on ExploitGym within a two-hour window. These are vendor-reported figures, not independently verified. It targets the same offensive-cyber, red-teaming, and agent-testing use cases as Abliterated Large, for developers who want GLM-5.3's underlying capability without the base model's refusal behavior.
ChatAbliterated Large
abliteration-ai/abliterated-model-large
Abliterated Large is Abliteration AI's large-context chat model, built by abliterating Zhipu's GLM-5.2, a technique that identifies and removes the activation direction responsible for a model's safety refusals rather than retraining it. Abliteration AI released it on July 24, 2026, calling it one of the first large abliterated models offered over an API. It is text-only, with a 1,000,000-token context window and up to 999,990 output tokens. Abliteration AI reports 81.2% on SWE-bench Verified, 80.1% on Terminal-Bench 2.1 (matching GLM-5.2's own score), 86.2% on AgentHarm with zero refusals, 97.50% benign utility on AgentDojo, and 84.2% pass@1 on CyberGym, ahead of GPT-4o's 62.50% on that benchmark. These are vendor-reported figures, not independently verified. It targets offensive-security research, red-teaming, and agent-testing work, and Abliteration AI pairs it with a policy gateway for developer-side moderation since it follows injected instructions as readily as legitimate ones.
Frequently Asked Questions
The Abliteration AI API gives you access to models for AI chat. Through Puter.js, you can start using Abliteration AI models instantly with zero setup or configuration.
Puter.js supports a variety of Abliteration AI models, including Abliterated Model, Abliterated Large v2, and Abliterated Large. Find all AI models supported by Puter.js in the AI model list.
With the User-Pays model, users cover their own AI costs through their Puter account. This means you can build apps without worrying about infrastructure expenses.
Puter.js is a JavaScript library that provides access to AI, storage, and other cloud services directly from a single API. It handles authentication, infrastructure, and scaling so you can focus on building your app.
Yes — the Abliteration AI API through Puter.js works with any JavaScript framework, Node.js, or plain HTML. Just include the library and start building. See the documentation for more details.